Data for: Building a landslide climate indicator with machine learning and land surface models

Name: Data for: Building a landslide climate indicator with machine learning and land surface models
Creator: Thomas Stanley
Published: 2020-05-06T21:42:56.764Z
Keywords: Machine Learning, Climate, Landslide, Geological Hazard, Natural Hazard

Stanley, Thomas; Jasinski, Michael F; Borak, Jordan; Slaughter, Stephen L.; Kirschbaum, Dalia; Sobieszczyk, Steven

doi:10.17632/5nmtc3hnpz.1

Data for: Building a landslide climate indicator with machine learning and land surface models

Published: 6 May 2020| Version 1 | DOI: 10.17632/5nmtc3hnpz.1

Contributors:

Thomas Stanley, Michael F Jasinski, Jordan Borak, Stephen L. Slaughter, Dalia Kirschbaum, Steven Sobieszczyk

Description

This is the model dump file provided by XGBoost. This model has not been validated for use in regions other than the Pacific Northwest of the United States, nor with input data other than NCA-LDAS. This model was created to describe the seasonality of landslides over a broad geographic region, and it is not suitable for site-specific hazard calculations.

Data for: Building a landslide climate indicator with machine learning and land surface models

Description

Files

Categories

Licence